The Mongo MCP Server allows large language models to seamlessly connect with MongoDB databases through mcp-go, supporting querying, inserting, updating, deleting documents, and managing indexes via natural language commands.
Added on:
Created by:
Apr 26 2025
The Mongo MCP Server allows large language models to seamlessly connect with MongoDB databases through mcp-go, supporting querying, inserting, updating, deleting documents, and managing indexes via natural language commands.
Added on:
Created by:
Apr 26 2025
awsling
Featured
What is Mongo MCP Server?
This MCP server acts as a bridge between LLMs and MongoDB, facilitating efficient database management and data operations. It provides tools for querying collections, documents, and indexes, as well as CRUD operations like insert, update, and delete. Additionally, it supports index creation and removal, making database administration more accessible via natural language interactions. The server is customizable through configuration files and can be run with features like Server-Sent Events for real-time updates, making it suitable for applications requiring dynamic data handling and advanced database control via AI.
Who will use Mongo MCP Server?
- Developers integrating AI with MongoDB
- Data scientists managing large datasets
- Database administrators automating index and data operations
- AI researchers building intelligent database interfaces
How to use the Mongo MCP Server?
- Step1: Clone the repository from GitHub
- Step2: Configure the `config.yml` file with your MongoDB details
- Step3: Run the server with `go run main.go`
- Step4: Connect your LLM or application to the MCP server's URL
- Step5: Send natural language commands to perform database operations
Mongo MCP Server's Core Features & Benefits
The Core Features
- Query Collection
- Query Document
- Query Index
- InsertOne
- UpdateOne
- DeleteOne
- CreateIndex
- DropIndex
- List Indexes
The Benefits
- Simplifies MongoDB management with natural language
- Supports real-time updates with SSE
- Flexible and customizable configuration
- Enables integration with large language models
- Streamlines CRUD and index operations
Mongo MCP Server's Main Use Cases & Applications
- AI-powered database querying and management
- Automated index creation and optimization
- Natural language data visualization and reporting
- Database administration via voice or chat interfaces
FAQs of Mongo MCP Server
Developer
- thinking-bzf
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Databases
A client for managing and interacting with MCPs in Chainlit, enabling database queries, view management, and database setup.
A tool that detects, records, and documents schema changes in Supabase PostgreSQL databases automatically.
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client tool designed to facilitate SQL query management and database interactions for enterprise users.
A MCP to enable natural language expense analysis and querying on SQLite databases for expense records.
A Python-based MCP client for PostgreSQL, enabling seamless integration of PostgreSQL databases into MCP workflows.
A server to enable secure and high-performance access to Alibaba Cloud PolarDB clusters using MCP protocol.
A command-line MCP client enabling natural language interactions with SQLite databases through LLM API.
A server that enables direct SQL query execution on PostgreSQL databases, supporting parameterized queries and timeouts.
A Go-based MCP server enabling AI models to interact with MySQL databases for querying and management.
AI Chatbot
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides MCP servers in Python, Go, and Rust for seamless AI tool integration in VS Code.
Implements MCP server supporting multiple agent frameworks for seamless agent communication and coordination.
Enables Claude Desktop to interact with Hacker News for fetching news, comments, and user data via MCP protocol.
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.